{"id":"W6926179624","doi":"10.22002/d1.1659","title":"GWML/GWSkyNet: GWSkyNet_v1","year":2020,"lang":"en","type":"dataset","venue":"CaltechDATA","topic":"Probiotics and Fermented Foods","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Indo-US Science and Technology Forum","keywords":"Binary data; Binary number; Classifier (UML); Byte","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001374667,0.000358571,0.0004051408,0.00001561713,0.0001615191,0.000138116,0.00148587,0.0004855007,0.001853747],"category_scores_gemma":[0.0001061265,0.0001363724,0.000150835,0.0003683213,0.00008239526,0.00007152689,0.0007550462,0.0006562375,0.002965089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003407265,"about_ca_system_score_gemma":0.00002240028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000184372,"about_ca_topic_score_gemma":0.0002627345,"domain_scores_codex":[0.9981627,0.00005478858,0.0003362184,0.0006999756,0.0003061566,0.0004401378],"domain_scores_gemma":[0.9991374,0.00008343544,0.0001690333,0.0002958152,0.00003976385,0.0002745342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001241821,0.00006041522,0.000001945325,0.00002967334,0.00002845503,0.00003820074,0.000001334756,1.070343e-7,0.001826026,0.00002032308,0.9896771,0.008303999],"study_design_scores_gemma":[0.00007896301,0.0002595141,0.0001059144,0.00004358944,0.0000502336,0.000008990997,0.000009421899,0.000008809221,0.0001584596,0.0001287825,0.9987636,0.0003837369],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007925884,0.0002844618,0.000001750326,0.001394402,0.0004333845,0.0002808445,0.997192,0.0001029423,0.0002309006],"genre_scores_gemma":[0.0002429919,0.0006972526,0.00003290308,0.001748533,0.001034035,0.00001617105,0.9960877,0.000001844833,0.000138576],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009086482,"threshold_uncertainty_score":0.9990587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02956529280686203,"score_gpt":0.222224496779955,"score_spread":0.1926592039730929,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}